Unknown

Dataset Information

0

Quantification of HER2 heterogeneity in breast cancer-implications for identification of sub-dominant clones for personalised treatment.


ABSTRACT: Breast cancer is a heterogeneous disease, at both an inter- and intra-tumoural level. Appreciating heterogeneity through the application of biomarkers and molecular signatures adds complexity to tumour taxonomy but is key to personalising diagnosis, treatment and prognosis. The extent to which heterogeneity exists, and its interpretation remains a challenge to pathologists. Using HER2 as an exemplar, we have developed a simple reproducible heterogeneity index. Cell-to-cell HER2 heterogeneity was extensive in a proportion of both reported 'amplified' and 'non-amplified' cases. The highest levels of heterogeneity objectively identified occurred in borderline categories and higher ratio non-amplified cases. A case with particularly striking heterogeneity was analysed further with an array of biomarkers in order to assign a molecular diagnosis. Broad biological complexity was evident. In essence, interpretation, depending on the area of tumour sampled, could have been one of three distinct phenotypes, each of which would infer different therapeutic interventions. Therefore, we recommend that heterogeneity is assessed and taken into account when determining treatment options.

SUBMITTER: Buckley NE 

PROVIDER: S-EPMC4800308 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Quantification of HER2 heterogeneity in breast cancer-implications for identification of sub-dominant clones for personalised treatment.

Buckley Niamh E NE   Forde Claire C   McArt Darragh G DG   Boyle David P DP   Mullan Paul B PB   James Jacqueline A JA   Maxwell Perry P   McQuaid Stephen S   Salto-Tellez Manuel M  

Scientific reports 20160321


Breast cancer is a heterogeneous disease, at both an inter- and intra-tumoural level. Appreciating heterogeneity through the application of biomarkers and molecular signatures adds complexity to tumour taxonomy but is key to personalising diagnosis, treatment and prognosis. The extent to which heterogeneity exists, and its interpretation remains a challenge to pathologists. Using HER2 as an exemplar, we have developed a simple reproducible heterogeneity index. Cell-to-cell HER2 heterogeneity was  ...[more]

Similar Datasets

| S-EPMC5823644 | biostudies-literature
| S-EPMC5386639 | biostudies-literature
| S-EPMC6121890 | biostudies-other
| S-EPMC6210052 | biostudies-literature
| S-EPMC3093360 | biostudies-literature
| S-EPMC8374722 | biostudies-literature
| S-EPMC4746572 | biostudies-literature
| S-EPMC8623301 | biostudies-literature
| S-EPMC6439986 | biostudies-literature
| S-EPMC4841292 | biostudies-literature